Physical Design Lead, AI/ML, Google Cloud

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Design, GPUs, Large Language Models - LLMs, Machine learning techniques, Perl Programming, Python Programming, SoC integration

Job Description

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Science, or equivalent practical experience.
• 16 years of experience in Electronic Design Automation (EDA) tools and IP/chip design, physical design, including floorplanning, placement, routing, clock tree synthesis, and power optimization.
• Experience working with EDA vendors and cross-functional teams to drive adoption of new methodologies and tools.
• Experience in solving physical design issues with AI/ML algorithms and techniques.

Preferred qualifications:

• Experience in developing AI/ML models for physical design optimization.
• Experience with cloud-based Machine Learning (ML) frameworks and tools.
• Experience in leading and mentoring technical teams.
• Understanding of hardware acceleration platforms (e.g., GPUs, TPUs).
• Understanding of physical design principles, EDA tools, scripting languages (e.g., Python, Perl, Tcl), and industry standard physical design flows.
• Excellent problem-solving, investigative, communication, and teamwork skills.

About the job

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Work closely with Google DeepMind team on AI models (e.g., large language model (LLM), Gemini and other Machine Learning tools). Lead a team of physical design engineers and AI/ML specialists, fostering a culture of innovation and technical excellence.
• Build and deploy AI/ML driven tools and frameworks that automate and optimize physical design tasks, improve design quality, efficiency, and turnaround time. Research, develop, and implement AI/ML algorithms and models for various aspects of physical design, such as floorplanning, placement, routing, clock tree synthesis, and power optimization.
• Work closely with circuit designers, analog integration engineers, and software teams to ensure seamless integration of AI/ML driven methodologies into the overall hardware development process.
• Evaluate and optimize AI/ML models and algorithms to improve their accuracy, efficiency, and applicability to real-world physical design issues.